"""
Same-input consistency test (spec #7).

Runs each configured provider on the same JD 3 times and reports score variance.
High-variance providers should get a lower production priority in
config.LLM_GENERATION.provider_order.

Usage:
    PYTHONPATH=. python scripts/consistency_test.py
    PYTHONPATH=. python scripts/consistency_test.py --jd airtel_pm --runs 3
"""

import os
import sys
import io
import json
import argparse

sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), "..")))
if hasattr(sys.stdout, "buffer"):
    sys.stdout = io.TextIOWrapper(sys.stdout.buffer, encoding="utf-8", errors="replace")

from src.provider_eval import load_base_resume, load_jd_fixtures, consistency_runs
from src.providers import build_provider_chain
from src.llm_client import LLMClient


def main():
    ap = argparse.ArgumentParser()
    ap.add_argument("--jd", type=str, default=None, help="JD fixture slug (default: first)")
    ap.add_argument("--runs", type=int, default=3)
    args = ap.parse_args()

    base = load_base_resume()
    if base is None:
        print("ERROR: no base resume.")
        sys.exit(1)
    jobs = load_jd_fixtures()
    if not jobs:
        print("ERROR: no JD fixtures.")
        sys.exit(1)
    job = next((j for j in jobs if j["_jd_slug"] == args.jd), jobs[0]) if args.jd else jobs[0]

    llm = LLMClient.__new__(LLMClient)
    providers = build_provider_chain(llm)
    real = [p for p in providers if getattr(p, "cfg", {}).get("api_key")]
    if not real:
        print("*** NO PROVIDER KEYS — StubProvider is deterministic, so variance")
        print("*** will be 0 by construction. Run with Kimi/NVIDIA keys for a real test. ***\n")

    print(f"JD under test: {job['_jd_slug']}  |  runs each: {args.runs}\n")
    out_root = os.path.join("data", "output", "eval", "consistency")
    results = []
    print(f"{'Provider':<16} {'Run1':>5} {'Run2':>5} {'Run3':>5} {'Var':>6} {'Spread':>7} Stable?")
    for p in providers:
        res = consistency_runs(p, base, job, os.path.join(out_root, p.name),
                               n=args.runs, llm=llm)
        results.append(res)
        sc = res["scores"] + [""] * (3 - len(res["scores"]))
        print(f"{p.name[:16]:<16} {str(sc[0]):>5} {str(sc[1]):>5} {str(sc[2]):>5} "
              f"{res['variance']:>6} {res['spread']:>7} {'YES' if res['stable'] else 'NO'}")

    os.makedirs(out_root, exist_ok=True)
    with open(os.path.join(out_root, "consistency.json"), "w", encoding="utf-8") as f:
        json.dump(results, f, ensure_ascii=False, indent=2)
    print(f"\nSaved -> {os.path.join(out_root, 'consistency.json')}")


if __name__ == "__main__":
    main()